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Research Articles

Resnet-Unet-FSOA based cranial nerve segmentation and medial axis extraction using MRI images

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Pages 750-766 | Received 06 Sep 2022, Accepted 15 Mar 2023, Published online: 26 Apr 2023

References

  • Flatz WH, Henneberger A, Reiser MF, et al. In vivo morphometric analysis of human cranial nerves using magnetic resonance imaging in Ménière's disease ears and normal hearing ears. JoVE (J Vis Exp). 2018;132:e57091.
  • Rupapara V, Narra M, Gunda NK, et al. Maintaining social distancing in pandemic using smartphones with acoustic waves. IEEE Trans Comput Soc Syst. 2022;9(2):605–611.
  • Geng-Cheng L, Wang W-J, Kang C-C, et al. Multispectral MR images segmentation based on fuzzy knowledge and modified seeded region growing. Magn Resonance Imaging. 2012;30(2):230–246.
  • Ahmadvand A, Kabiri P. Multispectral MRI image segmentation using Markov random field model. Signal Image Video Process. 2016;10(2):251–258.
  • Ranjbarzadeh R, Kasgari B, Ghoushchi A, et al. Brain tumor segmentation based on deep learning and an attention mechanism using MRI multi-modalities brain images. Sci Rep. 2021;11:10930.
  • Ghoushchi S, Ranjbarzadeh R, Najafabadi A, et al. An extended approach to the diagnosis of tumour location in breast cancer using deep learning. J Ambient Intell Humaniz Comput. 2021. doi:10.1007/s12652-021-03613-y.
  • Gopal A. Hybrid classifier: brain tumor classification and segmentation using genetic-based grey wolf optimization. Multimed Res. 2020;3(2):1–10.
  • Khan HA, Jue W, Mushtaq M, et al. Brain tumor classification in MRI image using convolutional neural network. Math Biosci Eng. 2020;17(5):6203–6216.
  • Saeid JG, Ranjbarzadeh R, Dadkhah AH, et al. An extended approach to predict retinopathy in diabetic patients using the genetic algorithm and fuzzy C-means. BioMed Res Int. 2021;2021:13.
  • Soroush BS, Tataei Sarshar N, Sadeghi S, et al. Investigation of effectiveness of Shuffled Frog-leaping optimizer in training a convolution neural network. J Healthc Eng. 2022;2022:11.
  • Ranjbarzadeh R, Sarshar N, Ghoushchi S, et al. MRFE-CNN: multi-route feature extraction model for breast tumor segmentation in mammograms using a convolutional neural network. Ann Oper Res. 2022. doi:10.1007/s10479-022-04755-8.
  • Fusini F, Zanchini F. Mini-open surgical treatment of an ex professional volleyball player with unresponsive Hoffa’s disease. Minerva Ortop Traumatol. 2016 Dec;67(4):192–194.
  • Gokulkumari G. Classification of brain tumor using Manta Ray foraging optimization-based DeepCNN classifier. Multimed Res. 2020;3(4):32–42.
  • Grams AE, Kraff O, Kalkmann J, et al. Magnetic resonance imaging of cranial nerves at 7 Tesla. Clin Neuroradiol. 2013;23(1):17–23.
  • Sheth S, Branstetter IV BF, Escott EJ. Appearance of normal cranial nerves on steady-state free precession MR images. Radiographics. 2009;29(4):1045–1055.
  • Romano N, Federici M, Castaldi A. Imaging of cranial nerves: a pictorial overview. Insights imaging. 2019;10(1):1–21.
  • Puonti O, Van Leemput K, Saturnino GB, et al. Accurate and robust whole-head segmentation from magnetic resonance images for individualized head modeling. NeuroImage. 2020;219:117044.
  • Borges A, Casselman J. Imaging the cranial nerves: part I: methodology, infectious and inflammatory, traumatic and congenital lesions. Eur Radiol. 2007;17(8):2112–2125.
  • Parente G, Gargano T, Ruggeri G, et al. Anastomotic stricture definition after esophageal atresia repair. Role Endosc Strict Index, J Surg Res. 2021;257:572–578.
  • Parente G, Gargano T, Pavia S, et al. Pyelonephritis in pediatric uropathic patients: differences from community-acquired ones and therapeutic protocol considerations. A 10-year single-center retrospective study, Children (Basel). 2021;8(6):436.
  • Sultana S, Blatt JE, Lee Y, et al. Patient-specific cranial nerve identification using a discrete deformable contour model for skull base neurosurgery planning and simulation. Proc Workshop Clin Image-Based Proced. 2015;9401:36–44.
  • Mani N, Sudhoff H, Rajagopal S, et al. Cranial nerve involvement in malignant external otitis: implications for clinical outcome. Laryngoscope. 2007;117(5):907–910.
  • Vinolin V. Breast cancer detection by optimal classification using GWO algorithm. Multimed Res. 2019;2(2):10–18.
  • Bai R, Jiang S, Sun H, et al. Deep neural network-based semantic segmentation of microvascular decompression images. Sensors. 2021;21(4):1167.
  • Sultana S, Agrawal P, Elhabian S, et al. Medial axis segmentation of cranial nerves using shape statistics-aware discrete deformable models. Int J Comput Assist Radiol Surg. 2019;14(11):1955–1967.
  • Lisa HS, DeMyer WE. Anatomy of the brainstem. Proc Semin Pediatr Neurol. 2003;10(4):235–240.
  • Maria Rosa Q-P. Clinical approach to brainstem lesions. Proc Semin Ultrasound CT and MRI. 2010;31(3):220–229.
  • Bhaskar Acharya D, Zhang H. Data points clustering via Gumbel Softmax. SN Comput Sci. 2021;2(4):1–13.
  • Carmichael EA, Woollard HH. Some observations on the fifth and seventh cranial nerves. Brain. 1933;56(2):109–125.
  • Alifanov VR, Saveliev SV. The brain morphology and neurobiology in armored dinosaur Bissekipeltaarchibaldi (Ankylosauridae) from the late cretaceous of Uzbekistan. Paleontol J. 2019;53(3):315–321.
  • Touska P, Connor SEJ. New and advanced magnetic resonance imaging diagnostic imaging techniques in the evaluation of cranial nerves and the skull base. Neuroimaging Clin N Am. 2021;vol. 31(no.4):665–684.
  • Sultana S, Blatt JE, Gilles B, et al. Member, MRI-based medial axis extraction and boundary segmentation of cranial nerves through discrete deformable 3D contour and surface models. IEEE Trans Med Imaging. 2017;36(8):1711–1721.
  • Wang C, Pedrycz W, Li Z, et al. Residual-driven Fuzzy C-means clustering for image segmentation. IEEE/CAA J Autom Sin. 2021;8(4):876–889.
  • Wang C, Pedrycz W, Yang J, et al. Wavelet frame-based Fuzzy C-means clustering for segmenting images on graphs. IEEE Trans Cybern. 2020;50(no. 9):3938–3949.
  • Lechanoine F, Jacquesson T, Beaujoin J, et al. WIKIBrainStem: an online atlas to manually segment the human brainstem at the mesoscopic scale from ultrahigh field MRI. NeuroImage. 2021;vol. 236:118080.
  • Antoniadis G, Kretschmer T, Pedro MT, et al. Iatrogenic nerve injuries: prevalence, diagnosis and treatment. Dtsch Ärztebl Int. 2014;111(no. 16):273.
  • Wang C, Pedrycz W, Li Z, et al. G-image segmentation: similarity-preserving Fuzzy C-means with spatial information constraint in wavelet space. IEEE Trans Fuzzy Syst. 2021;29(no. 12):3887–3898.
  • Yang J, Lou C, Fu J, et al. Vessel segmentation using multiscale vessel enhancement and a region based level set model. Comput Med Imaging Graph. 2020;85:101783.
  • Jianfei C, Changming Z. Research on image recognition based on improved ResNet. Proc IEEE 6th Int Conf Comput Commun (ICCC); 2020; Chengdu, China. p. 1422–1426.
  • Zhou Z, Mahfuzur Rahman Siddiquee M, Tajbakhsh N, et al. Unet++: A nested u-net architecture for medical image segmentation. In: Stoyanov D, Taylor Z, Carneiro G, et al., editors. Proceedings of deep learning in medical image analysis and multimodal learning for clinical decision support. Cham: Springer; 2018. p. 3–11.
  • Bhaladhare PR, Jinwala DC. A clustering approach for the-diversity model in privacy preserving data mining using fractional calculus-bacterial foraging optimization algorithm. Advances in Computer Engineering. 2014;2014:Article ID 396529.
  • Hashim FA, Hussien AG. Snake optimizer: A novel meta-heuristic optimization algorithm. Knowl Based Syst. 2022;242:108320.
  • Huang Z, Wang X, Wang J, et al. Weakly-supervised semantic segmentation network with deep seeded region growing. Proc IEEE Conf Comput Vis Pattern Recognit; 2018; Salt Lake City, UT. p. 7014–7023.
  • Cheng G, Zhu F, Xiang S, et al. Accurate urban road centerline extraction from VHR imagery via multiscale segmentation and tensor voting. Neurocomputing. 2016;205:407–420.
  • Saha S, Mou L, Qiu C, et al. Unsupervised deep joint segmentation of multitemporal high-resolution images. IEEE Trans Geosci Remote Sens. 2020;58(12):8780–8792.
  • Patel A, van Ginneken B, van Ginneken B, et al. Robust cranial cavity segmentation in CT and CT perfusion images of trauma and suspected stroke patients. Med Image Anal. 2017;36:216–228.
  • Adil SM, Calabresec E, Charalambous LT, et al. A high-resolution interactive atlas of the human brainstem using magnetic resonance imaging. NeuroImage. 2021;237:118135.
  • Wua W, Feihong W, Liu D, et al. Visualization of the morphology and pathology of the peripheral branches of the cranial nerves using three-dimensional high-resolution high-contrast magnetic resonance neurography. Eur J Radiol. 2020;132:109137.
  • Lambert C, Lutti A, Helms G, et al. Multiparametric brainstem segmentation using a modified multivariate mixture of Gaussians. NeuroImage: Clinical. 2013;2:684–694.
  • Badrinarayanan V, Kendall A, Cipolla R. Segnet: a deep convolutional encoder-decoder architecture for image segmentation. IEEE Trans Pattern Anal Mach Intell. 2017;39(12):2481–2495.
  • Jeevakala1 S, Sreelakshmi C, Ram K, et al. Artificial intelligence in detection and segmentation of internal auditory canal and its nerves using deep learning techniques. Int J Comput Assist Radiol Surg. 2020;15(11):1859–1867.
  • MR data on cranial nerve ISF drainage dataset taken from. “http://eprints.soton.ac.uk/id/eprint/448998”, accessed on May 2022.
  • Muhammad Zeeshan Baig YM, Ayaz Y. A BCI system classification technique using median filtering and wavelet transform. In: Kotzab, H., Pannek, J., Thoben, KD, editors. Dynamics in logistics. Cham: Springer; 2016. p. 355–364.
  • Zhang H, Hong X, Zhou S, et al. Infrared image segmentation for photovoltaic panels based on res-unet. In: Lin Z, Wang L, Yang J, et al., editors. Proceedings of Chinese conference on pattern recognition and computer vision (PRCV). Cham: Springer; 2019 Nov. p. 611–622.

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